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Record W3121892978 · doi:10.1213/xaa.0000000000001375

Stellate Ganglion Block as a Diagnostic and Therapeutic Option in Chronic Pericardial Pain: A Case Report

2021· article· en· W3121892978 on OpenAlexaff
Guy Feigin, Ning Nan Wang, David Flamer

Bibliographic record

VenueA&A Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsSinai Health SystemToronto Western HospitalWomen's College HospitalUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsStellate ganglionMedicineChronic painAnesthesiaPhysical therapyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

The underlying pathophysiology and treatment of chronic pericardial chest pain remains unclear. We describe a clinical case of a 38-year-old patient with chronic chest pain in the context of Marfan syndrome, status post-valve-sparing aortic root repair, and recurrent pericarditis. The patient suffers from chronic pericardial pain secondary to recurrent pericarditis refractory to pharmacotherapy. A left-sided stellate ganglion block (SGB) was performed for both diagnostic and therapeutic purposes. Postprocedure follow-up demonstrated significant analgesic benefit at 8 months after the procedure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.316
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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